HMS 2014 Proceeding

Data Fusion and simulation as decision support system in naval operations

Authors:   Agostino G. Bruzzone, Massimiliano Corso, Francesco Longo, Marina Massei, Alberto Tremori


This paper proposes an approach for creating a decision support system in Naval Operation combining statistical approaches with modeling and simulation; it is proposed as case study the problem of maritime piracy; in this context data fusion based on Bayesian Networks and Dempster-Shafer could be applied to develop innovative classification solution to identify suspect behaviors and to support to the Naval Planner; indeed this paper focuses on the use of a discrete event simulator in order to create the evaluation framework to measure the effectiveness of the proposed classification approaches respect a realistic scenario inspired by Aden Gulf piracy.

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